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Record W4210277176 · doi:10.2166/9781789061338

Pharmaceutical Wastewater Treatment Technologies: Concepts and Implementation Strategies

2021· book· en· W4210277176 on OpenAlex
Nadeem A. Khan, Sirajuddin Ahmed, Viola Vambol, Sergij Vambol, Izhar Ullah, Abdul Rehman, Abid Hussain, Fakhar-ud-Din, Nastaran Mozaffari, Alaa El Din Mahmoud, Nishana Ramsawak, Niloofar Mozaffari, Parisa Ziarati, Aastha Dhingra, Siddhartha Gautam, Tilemachos Koliopoulos, Ahmed Kadhim Hussein, Fateh Mebarek-oudina, Humzah Jamshaid, Andrii Shulha, Parveen Sihag, Vitalii Pavlykivskyi, Barbara Sawicka, Saif Ullah Khan, Hasan Rameez, Farrukh Basheer, Izharul Haq Farooqi, Павло Анатолійович Козуб, Svetlana Kozub, Ahmed Kettab, Fatima Zohra Batana, Hanane Bouanani, Afzal Husain Khan, Mariem Chtourou, Albert Galizia, Victòria Salvadó, Hèctor Monclús, Qaisar Mahmood, Muhammad Saqib Khan, Nadia Riaz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIWA Publishing eBooks · 2021
Typebook
Languageen
FieldChemistry
TopicNanomaterials for catalytic reactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsReuseLegislationGlobeOrder (exchange)Resource (disambiguation)EngineeringRisk analysis (engineering)Computer scienceBusinessWaste managementMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

Pharmaceutical wastewater is now a major concern due to the improper legislation around the globe and the poor implementation of existing laws. This book covers the various aspects of pharmaceutical sources, treatment technologies, and the harmful effect on the natural environment. The book will also highlight the concept of the 3Rs (reduce, reuse and recycle) as applied to the treatment and resource recovery systems for pharmaceutical treatment. The different innovative technologies will deal with reducing the energy requirements, the physical space requirements and impacts of treatment plants. Some case studies are included in order to fully understand the practical aspects of the treatment and modelling.ISBN: 9781789061321 (paperback)ISBN: 9781789061338 (eBook)ISBN: 9781789061345 (ePUB)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.593
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.328
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it